If playback doesn't begin shortly, try restarting your device.
1:21
5 seconds
Pull up for precise seeking
ChartSetup.js: Implementing Data Visualization
Full screen (f)
17:22
•
You're signed out
Videos that you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
Real-Time Weather Forecasting Website with Django | Python ML Project 02 (Part 2)
134Likes
6,091Views
15 Oct2024
Title: Creating a Weather Forecast Web App Using Django and Machine Learning |
Real-Time Weather Predictions: A Machine Learning Final Year Project |
From ML Model to Web App: Building a Weather Forecasting Site with Django
In this second part of our project, we'll transform our machine learning model into a fully functional web application using the Python framework Django. Building on our previous work, we'll create an interactive user interface that allows users to access real-time weather predictions seamlessly.
We'll begin by setting up a Django project and integrating our trained machine-learning model. Using the OpenWeatherMap API, users will be able to input their location and receive accurate forecasts for temperature and humidity for the next five hours.
Assets:
https://drive.google.com/drive/folder...
What You’ll Learn:
🔹 How to create a web application with Django to display weather forecasts.
🔹 Integrating machine learning models into a website with Django.
🔹 How to handle API requests and display real-time data on the front end.
🔹 Techniques for designing user-friendly interfaces.
🔹 Best practices for deploying a machine learning model in a web application.
🔹 Visualizing predictions in a web format using charts and graphs.
Timestamps:
00:00 – Overview
01:42 – Prerequisites
02:47 – Setting Up the Django Project
14:14 – Integrating the Machine Learning Model
31:25 – Building the User Interface
33:40 – weather.html: Structuring the HTML for Weather Display
01:01:09 – styles.css: Styling web Application
01:23:21 – Testing
01:24:51 – ChartSetup.js: Implementing Data Visualization
01:32:20 – Final Testing
Thanks for following along! If you found this tutorial helpful, please like, comment, and subscribe to my channel for more exciting projects!
Let’s keep learning and building amazing applications together!
#MachineLearning#WeatherForecasting#Python#DataScience#Django#OpenWeatherMap#WebDevelopment#AI#RealTimeForecasting#PythonProject#TechTutorial#EndToEndProject#WeatherData#DataVisualization#APIs#InteractiveWebApp#PythonForBeginners#MLInAction#WeatherAnalytics#PythonMachineLearning#WeatherPredictionAPI#DataDrivenForecasting#DjangoWebApp#MachineLearningInPython#DataScienceJourney#PythonLearning#WeatherTrends#WeatherMLProject#CodingTutorial…...more
Title: Creating a Weather Forecast Web App Using Django and Machine Learning |
Real-Time Weather Predictions: A Machine Learning Final Year Project |
From ML Model to Web App: Building a Weather Forecasting Site with Django
In this second part of our project, we'll transform our machine learning model into a fully functional web application using the Python framework Django. Building on our previous work, we'll create an interactive user interface that allows users to access real-time weather predictions seamlessly.
We'll begin by setting up a Django project and integrating our trained machine-learning model. Using the OpenWeatherMap API, users will be able to input their location and receive accurate forecasts for temperature and humidity for the next five hours.
Assets:
https://drive.google.com/drive/folder...
Title: Creating a Weather Forecast Web App Using Django and Machine Learning |
Real-Time Weather Predictions: A Machine Learning Final Year Project |
From ML Model to Web App: Building a Weather Forecasting Site with Django…...more
Sir it error path not found of csv file please help how can I fix it
Show lessRead more
Like
Dislike
Reply
·
2 replies
·
2 replies
EN
A tutorial demonstrates building a real-time weather forecasting web app using Django and machine learning. It covers setting up the environment, creating a virtual environment, and coding the app to fetch live weather data, process user input, and display predictions with a visually appealing interface, including a chart for temperature data.
00:00
A weather prediction web app will be built using machine learning and the Django framework to provide real-time weather data and forecasts for any city. This comprehensive tutorial covers installation, setup, and coding steps needed to create the application effectively.
Click to expand
08:02
Creating an HTTP response in Django is essential for web applications as it allows users to interact with the app. By defining views and URL routing, applications can respond appropriately to user requests.
Make a Full Summary
Save the Video to Wisebase
Subtitles
00:00
-
00:06
-
00:14
-
00:22
-
00:30
-
00:37
-
00:47
-
00:55
-
01:00
-
01:08
-
01:14
-
01:22
-
01:31
-
01:39
-
01:49
-
01:59
-
02:12
-
02:21
-
02:42
-
02:50
-
03:03
-
03:21
-
03:29
-
03:36
-
03:45
-
03:58
-
04:06
-
04:22
-
04:29
-
04:37
-
05:12
-
05:19
-
05:28
-
05:41
-
05:52
-
06:00
-
06:07
-
06:13
-
06:21
-
06:28
-
06:45
-
06:52
-
07:02
-
07:14
-
07:24
-
07:32
-
07:40
-
07:58
-
08:07
-
08:16
-
08:25
-
08:51
-
08:59
-
09:08
-
09:17
-
09:25
-
09:36
-
09:50
-
10:02
-
10:09
-
10:23
-
10:34
-
11:00
-
11:09
-
11:16
-
11:24
-
11:33
-
11:42
-
11:50
-
11:57
-
12:12
-
12:20
-
12:28
-
12:38
-
12:47
-
12:56
-
13:02
-
13:14
-
13:28
-
13:38
-
13:45
-
13:52
-
14:03
-
14:10
-
14:18
-
16:23
-
16:29
-
16:46
-
16:57
-
17:05
-
17:13
-
17:27
-
17:46
-
17:54
-
18:19
-
18:28
-
18:42
-
18:57
-
19:11
-
19:57
-
20:05
-
20:13
-
20:39
-
21:23
-
21:30
-
21:39
-
21:46
-
21:54
-
22:01
-
22:20
-
22:28
-
22:37
-
22:42
-
22:53
-
23:22
-
23:29
-
24:10
-
24:18
-
25:28
-
26:17
-
26:31
-
26:55
-
27:36
-
27:43
-
27:50
-
29:19
-
30:08
-
30:34
-
30:41
-
30:51
-
30:58
-
31:05
-
31:12
-
31:23
-
31:31
-
31:45
-
31:53
-
32:00
-
32:08
-
32:20
-
32:38
-
32:46
-
32:54
-
33:08
-
33:18
-
33:26
-
33:35
-
33:47
-
33:56
-
34:03
-
34:11
-
34:21
-
34:32
-
34:40
-
34:48
-
34:58
-
35:07
-
35:25
-
35:39
-
35:57
-
36:06
-
36:14
-
36:22
-
36:43
-
37:11
-
37:18
-
37:26
-
37:33
-
37:40
-
37:50
-
38:06
-
38:19
-
38:29
-
38:49
-
39:08
-
39:20
-
39:26
-
40:04
-
40:30
-
41:24
-
41:33
-
42:17
-
42:32
-
42:47
-
42:54
-
43:02
-
43:24
-
43:36
-
43:46
-
44:05
-
44:11
-
44:37
-
44:56
-
45:57
-
47:31
-
47:44
-
48:17
-
48:43
-
48:50
-
49:26
-
49:39
-
49:58
-
50:56
-
51:44
-
52:04
-
54:47
-
55:14
-
55:45
-
55:59
-
56:29
-
56:59
-
57:55
-
58:45
-
58:52
-
59:02
-
59:11
-
59:36
-
59:59
-
1:00:06
-
1:00:17
-
1:00:25
-
1:00:35
-
1:01:19
-
1:01:31
-
1:01:59
-
1:02:11
-
1:02:22
-
1:02:42
-
1:03:38
-
1:03:53
-
1:04:01
-
1:04:08
-
1:06:53
-
1:07:04
-
1:07:55
-
1:08:24
-
1:10:49
-
1:11:42
-
1:11:49
-
1:13:19
-
1:14:32
-
1:15:32
-
1:16:27
-
1:21:03
-
1:23:02
-
1:23:31
-
1:23:40
-
1:23:50
-
1:24:25
-
1:24:38
-
1:24:51
-
1:24:59
-
1:25:14
-
1:25:28
-
1:25:51
-
1:26:12
-
1:26:51
-
1:27:04
-
1:27:11
-
1:27:59
-
1:28:17
-
1:28:36
-
1:29:05
-
1:30:13
-
1:30:25
-
1:31:14
-
1:32:02
-
1:32:39
-
1:32:45
-
1:32:53
-
1:32:59
-
Summarize
Subtitles failed to load
Your download's being scanned. We'll let you know if there's an issue.